Maze AI

freemium

Maze is an end-to-end user research platform with AI-powered moderation, automated reports, and a panel of 6M+ participants. Run interviews, prototype tests, surveys, and more.

Data & Analytics

Research & Education

AI Research Tools

About

Maze is a comprehensive, research-grade user research and testing platform designed to empower researchers, designers, and product managers to run studies faster and at greater scale. Its end-to-end workflow covers every stage of the research process: recruiting the right participants, conducting diverse study types, and distilling insights into shareable evidence. With access to a panel of over 6 million participants, Maze makes it effortless to reach the right audience with precise targeting and scheduling. Teams can run moderated interviews, prototype tests, usability studies, live website tests, mobile tests, surveys, card sorting, and tree testing — all from one platform. Maze AI is the platform's intelligent layer, acting as an AI moderator, generating automated reports with highlighted video clips and transcripts, and surfacing AI-powered themes from qualitative data. This significantly reduces manual analysis time and helps research scale across the organization without creating bottlenecks. All research findings are centralized in a single hub, with easily embeddable results and automated reporting that makes sharing insights with stakeholders simple and compelling. Maze is built for scale and versatility — helping enterprises like Hopper, Braze, Itaú, and Safelite make research a shared, organization-wide capability. Whether validating concepts early or testing final prototypes, Maze supports every stage of the product development lifecycle.

Key Features

6M+ Participant Panel: Instantly access a panel of over 6 million participants with precise targeting and scheduling, or bring your own users — no logistics headaches.
AI Moderator & Automated Reports: Maze AI moderates interviews, auto-generates reports with relevant video clips, transcripts, and AI-powered themes to dramatically cut analysis time.
Versatile Study Types: Run moderated interviews, prototype tests, usability studies, surveys, card sorting, tree testing, live website tests, and mobile tests — all in one platform.
Centralized Research Hub: Store all research findings in one place with embeddable results and shareable reports, so insights are always accessible to stakeholders.
Team-Wide Research Scalability: Give designers, PMs, and other team members an intuitive way to run credible studies, making research a shared organizational capability without bottlenecks.

Use Cases

Product teams validating new concepts or feature ideas through prototype testing before development begins.
UX researchers running moderated usability interviews and automatically generating highlight reels and transcripts with AI.
Designers testing information architecture decisions using card sorting and tree testing studies at scale.
Enterprise research teams democratizing user research by enabling designers and PMs to run credible studies without researcher bottlenecks.
Companies measuring user satisfaction and collecting continuous feedback through in-product prompts and surveys linked to their own participant communities.

Pros

All-in-One Research Platform: Covers recruiting, study execution, and AI-powered analysis in a single platform, eliminating the need for multiple disparate tools.
Massive Built-In Participant Panel: With 6M+ panel members and robust targeting, reaching qualified research participants is fast and requires minimal effort.
AI Dramatically Reduces Analysis Time: Automated reports, AI-generated themes, and video highlights surface key insights quickly, making qualitative research far more efficient.
Supports Both Qual and Quant Methods: From one-on-one moderated interviews to large-scale surveys and prototype tests, Maze supports the full spectrum of research methodologies.

Cons

Cost Can Escalate at Scale: Enterprise-level features and large participant panel access may come at significant cost, which could be a barrier for smaller teams or startups.
Learning Curve for New Researchers: The breadth of features and study types may feel overwhelming to teams that are new to structured user research methodologies.
Panel Quality Varies by Niche: While the 6M+ panel is large, finding highly specialized or niche B2B participants may still require supplementing with your own recruiting.

Frequently Asked Questions

Maze supports a wide range of study types including moderated interviews, prototype testing, live website testing, mobile testing, surveys, card sorting, tree testing, and usability studies — covering both qualitative and quantitative research methods.

Maze AI acts as an AI moderator during interviews, auto-generates research reports highlighting relevant video clips and statistics, produces AI-powered themes from qualitative responses, and creates transcripts — significantly reducing manual analysis time.

Yes. Maze lets you recruit from its panel of 6M+ participants or connect and manage your own user community. Both options support precise targeting and scheduling.

Absolutely. Maze is built for scale and is used by enterprises like Hopper, Braze, Itaú, and Safelite. It enables organization-wide research by giving multiple team members — researchers, designers, and PMs — the tools to run credible studies independently.

Yes, Maze offers a free tier to get started. Paid plans and enterprise pricing are available for teams that need more advanced features, larger participant access, or additional collaboration capabilities.